13 datasets found

The dataset used in this paper is SST-2, Irony, IronyB, TREC6, and SNIPS.

The Rotten Tomatoes dataset has 5331 positive and 5331 negative review sentences.

The dataset used in the paper for instruction tuning of Large Language Models (LLMs) during instruction tuning.

The dataset used in the paper is the Stanford Sentiment Treebank (SST) dataset, which contains standard train/dev/test sets and two subtasks: binary sentence classification or...

The Amazon dataset is used to evaluate the performance of the proposed approach. It consists of 2000 users, 1500 items, 86690 reviews, 7219 number ratings, 3.6113 average number...

The Yelp review dataset contains hotel and restaurant reviews filtered (spam) and recommended (legitimate) by Yelp.

Dialogue systems – often referred to as conversational agents, chatbots, etc. – provide convenient human-machine interfaces and have become increasingly prevalent with the...

The News dataset consists of 5000 randomly sampled news articles from the NY Times corpus. It simulates the opinions of media consumers on news items. The units are different...

The Yelp Dataset contains 1.6M reviews and 500K tips by 366K users for 61K businesses; 481K business attributes, such as hours, parking availability, ambience; and check-ins for...

The dataset used for the experiments across ten models– ranging from bag-of-words models to pre-trained transformers– and find that a model having higher AUC does not necessarily...

The dataset used in the paper is a language domain dataset, specifically for sentiment classification, named AG News. The dataset is used to evaluate the performance of...

The dataset used in the paper is the Stanford Natural Language Inference (SNLI) dataset, which consists of 549,367 premise-hypothesis pairs for train/dev/test sets and target...

The dataset used in the paper is not explicitly described, but it is mentioned that the authors tested the proposed method on three real data sets for the most relevant security...